Triple
T5555632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Rosen |
E145631
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Norman Lear |
E5052
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Norman Lear | Statement: [Charlotte Rosen, spouse, Norman Lear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Lear Context triple: [Charlotte Rosen, spouse, Norman Lear]
-
A.
Norman Lear
chosen
Norman Lear was an influential American television writer and producer best known for creating groundbreaking sitcoms such as "All in the Family," "The Jeffersons," and "Good Times."
-
B.
Larry Gelbart
Larry Gelbart was an American comedy writer best known for co-creating the TV series M*A*S*H and writing sharp, witty scripts for stage, film, and television.
-
C.
Jack Shulman
Jack Shulman is the son of American actress Anne Hathaway and her husband, actor and businessman Adam Shulman.
-
D.
Tom Mankiewicz
Tom Mankiewicz was an American screenwriter, director, and producer best known for his work on several James Bond films and the script for the 1978 film "Superman."
-
E.
Ben Mankiewicz
Ben Mankiewicz is an American television host and film critic best known as a longtime presenter and commentator on Turner Classic Movies (TCM).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0283bd408819085c62caf254df339 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:36 p.m.